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# UWA Handbook 2017

## STAT2402 Analysis of Observations

Credit 6 points
Offering
(see Timetable)
 Availability Location Mode Semester 2 UWA (Perth) Face to face
• Level 2 core unit in the Quantitative Methods major sequence
• Category A broadening unit for Bachelor of Arts, Bachelor of Commerce and Bachelor of Design students
• Category A broadening unit for Bachelor of Science students where relevant according to the broadening requirements for each student
• Level 2 elective
Content Many real-world problems involve analysing data sets that are not normally distributed. For example, binomial data in the form of presence/absence recordings, Poisson data measured as counts of rare events such as car accidents, Gamma data for measurements of rainfall and Weibull data for the expected lifetimes of machinery. This unit provides experience in analysing such observations. The majority of the unit concentrates on the presentation and analysis of such data sets. Generalised Linear Models (GLMs) are used to incorporate explanatory variables into the analyses. In developing these skills students are trained in an appropriate statistical software package. The unit also provides a rudimentary understanding of probability and statistics necessary for applying the likelihood theory for estimating these models.
Outcomes Students are able to (1) demonstrate their knowledge of fundamental concepts in probability and statistics; (2) apply statistical models to real-world problems for data that are not normally distributed; (3) use computer package(s) for fitting such models to data; and (4) communicate the results of these analyses effectively to non-statisticians.
Assessment Typically this unit is assessed in the following ways: (1) two assignments and (2) a final examination. Further information is available in the unit outline.

Supplementary assessment is not available in this unit except in the case of a bachelor's pass degree student who has obtained a mark of 45 to 49 overall and is currently enrolled in this unit, and it is the only remaining unit that the student must pass in order to complete their course.
Unit Coordinator(s) Dr Julie Marsh
Unit rules
 Prerequisites: STAT1400 Statistics for Science or STAT1520 Economic and Business Statistics or MATH1002 Mathematical Methods 2 or MATH1012 Mathematical Theory and Methods or MATH1020 Calculus, Probability and Statistics (students enrolled in the Master of Data Science may take one of these units as a co-requisite) Incompatibility: STAT2226 Statistical Models for Data
Contact hours lectures: 3 hours per week; tutorials: 2 hours per week; labs: 1 hour per week
Unit Outlinehttp://www.unitoutlines.ecm.uwa.edu.au/Units/STAT2402/SEM-2/2017

• The availability of units in Semester 1, 2, etc. was correct at the time of publication but may be subject to change.
• All students are responsible for identifying when they need assistance to improve their academic learning, research, English language and numeracy skills; seeking out the services and resources available to help them; and applying what they learn. Students are encouraged to register for free online support through GETSmart; to help themselves to the extensive range of resources on UWA's STUDYSmarter website; and to participate in WRITESmart and (ma+hs)Smart drop-ins and workshops.
• Books and other material wherever listed may be subject to change. Book lists relating to 'Preliminary reading', 'Recommended reading' and 'Textbooks' are, in most cases, available at the University Co-operative Bookshop (from early January) and appropriate administrative offices for students to consult. Where texts are listed in the unit description above, an asterisk (*) indicates that the book is available in paperback.

# The University of Western Australia

## University information

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